Feline Faecal Microbiome Longitudinal
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR878216_1.fastq.gz | Fastqsanger.gz | |||
| ERR878216_2.fastq.gz | Fastqsanger.gz | |||
| ERR878217_1.fastq.gz | Fastqsanger.gz | |||
| ERR878217_2.fastq.gz | Fastqsanger.gz | |||
| ERR878218_1.fastq.gz | Fastqsanger.gz |
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Project description:Purpose:MicroRNAs (miRNAs) are members of a rapidly growing class of small endogenous non-coding RNAs that play crucial roles in post-transcriptional regulator of gene expression in many biological processes. Feline Panleukopenia Virus (FPV) is a highly infectious pathogen that causes severe disease in pets, economically important animals and wildlife in worldwide. However, the molecular mechanisms underlying the pathogenicity of FPV have not been completely clear. To study the involvement of miRNAs in the FPV infection process, miRNAs expression profiles were identified via deep sequencing in the feline kidney cell line (F81) infected and uninfected with FPV. Methods:miRNA-sequencing analysis was performed on an Illumina Hiseq 2500 (LC Sciences, USA) following the vendor's recommended protocol Results:As a result, 673 known miRNAs belonging to 210 families and 278 novel miRNAs were identified. Then we found 57 significantly differential expression miRNAs by comparing the results between uninfected and FPV-infected groups. Furthermore, stem-loop qRT-PCR was applied to validate and profile the expression of the randomly selected miRNAs; the results were consistent with those by deep sequencing. Furthermore, the potential target genes were predicted. The target genes of differential expression miRNAs were analyzed by GO and KEGG pathway. Conclusions:The identification of miRNAs in feline kidney cell line before and after infection with Feline Panleukopenia Virus will provide new information and enhance our understanding of the functions of miRNAs in regulating biological processes.
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